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Swingtrading

Strategy - Bobo's Pivot ATR SwingHi there, welcome to my pivot ATR swing bot. I put this out there with source code hidden to see what ideas others have to use it. Also if there are any coders of trading systems out there who wanted to work with me to put this into a form that could trade automatically we could both use... I'd welcome that kind of collaboration and will happily share the underlying rules of this and the more highly developed version that isn't public. But as it is, the signals are free for all, use them as you wish and at your own risk. If you want to discuss the code, strategy or ideas, I'm around fairly regularly just message. The bot is fairly simple design that will give you signals for long and short intraday/week on equity futures / CFDs / ETFs. You'll see it backtests fairly well on an hourly SPX500 chart as configured. You will need to set up certain parameters to account for any different timeframes and markets you wish to trade. For me it's most effective pick out a few good swing trades per week in equity futures. However part of the idea of putting this in the public domain is to see if other people will have good but different ideas how to use it. Please share with me if so :). The basic concept is a series of 3 lines that define the area and movement we wish to trade. The daily pivot is the central line (blue). We are looking to capture reversions to this middle line from extremes (red and green). Therefore the bot will signal exit at the close of every candle that has passed through the pivot. Entry is decided by the outer bands around the blue line. Red is the top band, green the bottom. As configured, these are simply placed a daily ATR value apart, centred around the pivot. You can change this quite a lot though, so let's go through the settings: Pivot Timeframe - simple, a daily pivot is calculated from the previous day's values (high + low + close)/3 . BUt the same calculation can be applied to any length candle, day, minute, month or whatever. This makes the middle target line more or less responsive to recent price action. ATR Band Timeframe - When we calculate the average range, we need to know what candle length makes up our series. Daily candles is the default, but you can change that here. ATR Lookback - When we calculate the average range, we need to know how many instances of the timeframe (day, minute, hour etc) we look back to create an average. The lower the lookback value, the more the width of the bands (the distance from pivot) will change quickly based on the volatility of previous candles. The higher the lookback value, the more stable the band width will be to recent volatility. ATR divisor - The ATR value above is divided by this value, before being added or subtracted to the pivot to create the red and green lines. Default value is 2, and this means the distance from the red band to the green band will be equal to 1 ATR, as calculated according to the parameters above. Setting this to 1 would mean that each band is one ATR away from pivot (ie the bands got wider apart). Set this to 4, and it means that it is only 1/2 an ATR from green to red. Take Profit / Stop Loss. - We know what a stop and profit target are, but worth nothing that a 0 value disables stop loss or profit targets. The bot will still close positions when crossing pivot. Also, note the mintick value of the instrument you apply this to. For example for the CFD chart SPX500 the mintick value is 0.1. So a 100 value for stop loss = 10 points on SPX500. but if you were to trade the same thing basically, but the emini future ES, the mintick value is 0.25. So for a 10 point stop on the ES chart, you would need a value of 40 in this bot. US30 and YM have convenient mintick values of 1. Currencies can be a bit of a nightmare :).
Pine Script™策略
由BobVanders提供
6
Long Term Swing Position Indicator Alpha VersionThis is a early version of a swing trading indicator I have been working on. It uses EMAs and ADX to find entries. This will eventually be integrated into my main trading indicator. The strategy is defaulted to start with 17,000 capital and trade with 100 percent of equity. You can test different ranges of dates by going into the settings and changing the end dates of the backtest. It is defaulted to test from 1/1/2018 to the current time. Keep in mind if you keep it set to use 100% equity it will not be able to enter positions if the initial capital is less than the price of 1 bitcoin -3.31% at the beginning of the test range. It currently has a pretty low success rate, but the average winning trade is significantly larger than the average losing trade so it still makes a significant profit. This has only been tested so far on the 15 minute and 30 minute charts for Bitfinex:BTCUSD. The end goal for this indicator is to allow me to enter long term future positions to hold while I trade swaps on the short and medium term. This will allow me to increase profits. This strategy will be changing significantly in the future as I test various ideas and setting configurations to maximize the effectiveness, but feel free to use it however you want. My main indicator is currently in beta and will be finished before this one is completed, so if you want a solid indicator to trade with in the immediate future, I suggest checking that one out at Please comment or direct message me if you have any questions of critiques, I will always respond within 24 hours. If you find out anything interesting while testing the strategy I would also appreciate it if you dropped me a message letting me know.
Pine Script™策略
由chives152提供
Mean-Reversion Swing Trading Strategy v1A port of the TradeStation EasyLanguage code for a mean-revision strategy described at traders.com "In “Mean-Reversion Swing Trading,” which appeared in the December 2016 issue of STOCKS & COMMODITIES, author Ken Calhoun describes a trading methodology where the trader attempts to enter an existing trend after there has been a pullback. He suggests looking for 50% pullbacks in strong trends and waiting for price to move back in the direction of the trend before entering the trade." See Also: - 9 Mistakes Quants Make that Cause Backtests to Lie (blog.quantopian.com) - When Backtests Meet Reality (financial-hacker.com) - Why MT4 backtesting does not work (www.stevehopwoodforex.com)
Pine Script™策略
由sherwind提供
2
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500. The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout. TRADING RULES: Buy/Cover = EMA3(RSI2) cross> 50 Sell/Short = EMA5(RSI2) cross< 50 BACKTEST SETTINGS: - Period = March 2011 - Present - Initial capital = $10,000 - Dividends excluded - Trading costs excluded PERFORMANCE COMPARISON: There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628. -SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded) -SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21% DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Pine Script™策略
由Stable_Camel提供
5
Forex Master (EUR/USD)ATTENTION: This is a symmetrical algorithm designed only for trading EUR/USD on the 1h time frame. For other currency pairs and time frames, you need to re-calibrate the RSI-EMAs as well as the profit targets and stop losses. BACKTEST CONDITIONS: Initial equity = $100,000 (no leverage) Order size = 100% of equity Pyramiding = disabled TRADING RULES: Long entry = EMA20(RSI10) cross> 50 Profit limit = 50 pips Stop loss = 50 pips Short entry = EMA30(RSI30) cross< 50 Profit limit = 50 pips Stop loss = 50 pips Long entry = Short exit Short entry = long exit DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Pine Script™策略
由Stable_Camel提供
2